ArticleACS chemical neuroscience2023
Discovery of Potent and Selective CB2 Agonists Utilizing a Function-Based Computational Screening Protocol.
Article in ACS chemical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Drug Repurposing: Conversion of the Peripherally Restricted HIV Protease Inhibitor Amprenavir to Potent, Selective, and CNS-Penetrant Agonists for the Cannabinoid Receptor 2.Journal of medicinal chemistry · 2026Article
- Synthesis of Novel Chloro-Benzo [Pharmaceuticals (Basel, Switzerland) · 2025Article
- Comparison of Agonist Activity between CB1 and CB2 Receptors with Orthosteric Site Mutations.Receptors (Basel, Switzerland) · 2024Article
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6 authors.
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Abstract
Nowadays, the identification of agonists and antagonists represents a great challenge in computer-aided drug design. In this work, we developed a computational protocol enabling us to design/screen novel chemicals that are likely to serve as selective CB2 agonists. The principle of this protocol is that by calculating the ligand-residue interaction profile (LRIP) of a ligand binding to a specific target, the agonist-antagonist function of a compound is then able to be determined after statistical analysis and free energy calculations. This computational protocol was successfully applied in CB2 agonist development starting from a lead compound, and a success rate of 70% was achieved. The functions of the synthesized derivatives were determined by in vitro functional assays. Moreover, the identified potent CB2 agonists and antagonists strongly interact with the key residues identified using the already known potent CB2 agonists/antagonists. The analysis of the interaction profile of compound
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